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  1. Will China's Development lead to Mexico's Underdevelopment?

    China has become an important global actor in the arenas of production, trade, and foreign investment. In 1948, China contributed slightly less than 1 percent to global exports; by 2013, it had grown to almost 12 percent. Has China's vertiginous trade growth come at the expense of other exporters or does it represent an expansion of new consumer markets? For policy makers in the so-called "emerging markets," this is most relevant since many have adopted the export-led model as their engine of development.

  2. Work–Family Conflict and Well-Being among German Couples: A Longitudinal and Dyadic Approach

    This study examines dual-earner couples to determine whether changes in work–family conflict predict changes in one’s own (i.e., actor effects) or partner’s (i.e., partner effects) health and well-being as well as gender differences in these relationships.
  3. Family Complexity into Adulthood: The Central Role of Mothers in Shaping Intergenerational Ties

    As a result of the divorce revolution, more children grow up in complex families. Yet, we know little about how family complexity affects relationships when children are adults and parents are ageing. In this article, we use unique survey data to test fundamental ideas about intergenerational ties: the role of biology, partnerships (marriage and cohabitation), residence, and selection.
  4. Preventing Violence: Insights from Micro-Sociology

    Micro-sociology of violence looks at what happens in situations where people directly threaten violence, but only sometimes carry it out. This process and its turning points have become easier to see in the current era of visual data: cell-phone videos, long-distance telephoto lenses, CCTV cameras. New cues and instruments are on the horizon as we look at emotional signals, body rhythms, and monitors for body signs such as heart rate (a proxy for adrenaline level).
  5. The Coming Divorce Decline

    This article analyzes U.S. divorce trends over the past decade and considers their implications for future divorce rates. Modeling women’s odds of divorce from 2008 to 2017 using marital events data from the American Community Survey, I find falling divorce rates with or without adjustment for demographic covariates. Age-specific divorce rates show that the trend is driven by younger women, which is consistent with longer term trends showing uniquely high divorce rates among people born in the Baby Boom period.
  6. “Daddies,” “Cougars,” and Their Partners Past Midlife: Gender Attitudes and Relationship and Sexual Well-Being among Older Adults in Age-Heterogenous Partnerships

    Discussion of “daddies” has exploded in popular discourse, yet there is little sociological research on age-heterogenous partnerships. This paper uses data from the 2013 Midlife in the United States survey and the 2015–2016 National Social Life, Health, and Aging Project to examine age-heterogenous partnerships at older ages (63 was the approximate average age of each sample).

  7. Do Readers Judge Books by Author Gender? Results from a Randomized Experiment

    We run a randomized experiment to examine gender discrimination in book purchasing with 2,544 subjects on Amazon’s Mechanical Turk. We manipulate author gender and book genre in a factorial design to study consumer preferences for male versus female versus androgynous authorship. Despite previous findings in the literature showing gender discrimination in book publishing and in evaluations of work, respondents expressed no gender preference across a variety of measures, including quality, interest, and the amount they were willing to pay to purchase the book.

  8. CASM: A Deep-Learning Approach for Identifying Collective Action Events with Text and Image Data from Social Media

    Protest event analysis is an important method for the study of collective action and social movements and typically draws on traditional media reports as the data source. We introduce collective action from social media (CASM)—a system that uses convolutional neural networks on image data and recurrent neural networks with long short-term memory on text data in a two-stage classifier to identify social media posts about offline collective action. We implement CASM on Chinese social media data and identify more than 100,000 collective action events from 2010 to 2017 (CASM-China).
  9. Does Intra-household Contagion Cause an Increase in Prescription Opioid Use?

    Opioid use claims many thousands of lives each year. This article considers the diffusion of prescription opioid (PO) use within family households as one potential culprit of the proliferation of these medications. In an analysis of hundreds of millions of medical claims and almost 14 million opioid prescriptions in one state between 2010 and 2015, we show that the use of POs spreads within family households.

  10. Why Are Women Penalized in Product Markets?

    Previous research using data from eBay found that women receive lower prices than men when selling the exact same products. The current project explores why this gender gap obtains and why some products have larger gender price gaps than others. To answer these questions, we exploit the variation in the gender price gap across products found in the earlier eBay data together with new survey data on the perceptions people have about seemingly male-typed and female-typed products and about people’s uncertainty about the prices of products.